Download Privacy Enhancing Technologies: 7th International Symposium, by Matthias Franz, Bernd Meyer, Andreas Pashalidis (auth.), PDF

By Matthias Franz, Bernd Meyer, Andreas Pashalidis (auth.), Nikita Borisov, Philippe Golle (eds.)

This e-book constitutes the completely refereed post-proceedings of the seventh foreign Symposium on privateness improving applied sciences, puppy 2007, held in Ottawa, Canada, in June 2007 at the side of WOTE 2007, the IAVoSS Workshop on reliable Elections.

The sixteen revised complete papers provided have been rigorously chosen from eighty four submissions in the course of rounds of reviewing and development. The papers - either from academia and - hide layout and cognizance of privateness companies for the net and different verbal exchange networks and current novel study on all theoretical and sensible points of privateness applied sciences, in addition to experimental stories of fielded systems.

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Additional info for Privacy Enhancing Technologies: 7th International Symposium, PET 2007 Ottawa, Canada, June 20-22, 2007 Revised Selected Papers

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The traffic analysis models we use in the (TS-)SDA are only approximations of the real-world as well as the theoretical sending models. Therefore the distributions Rec(Si ) give us only partial information about the actual receivers and are sometimes (as we show) just wrong. before applying the information theoretic metrics for anonymity, one would need to look at the mutual information between Rec(Si ) and the actual receivers to understand the biases in the approximations. G. Danezis, C. Diaz, and C.

95) the TS-SDA performs even better. The higher number of replies introduces noise for the SDA, worsening its performance, while the TS-SDA can de-anonymize them more effectively. 6 we show the effects of changing the background traffic. The SDA is sensitive to other users having a non-uniform behaviour (all users send only to a limited set of k = 20 contacts – just as Alice does – instead of uniformly to all other N = 1000 users in the system), which worsens its accuracy. The TS-SDA, however, can handle this sort of traffic due to its estimation of the background noise.

The expectation value and the values one standard deviation away from it of such a timed dynamic pool mix are also shown on Figure 6. −1 which is greater than that The variance of the uniform distribution is (M+1) 12 of the binomial distribution, M/4. Note that given a set of values {0 . . M }, and a given expected value μ the maximum entropy distribution is of the following form: P (X = x) = Crx 2 Using the facts that the sum of the probabilities equals 1 and the expectation equals μ allows us to determine the values for constants C and r.

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